Data Scientist Campaign Analytics Data Science

• Roles & Responsibilities
• The ideal candidate must have expertise in leading the research and development of analytic solutions with a focus on mathematical modeling statistical methods and machine learning processes. The candidate would also have the capacity to work in an agile development environment alongside software engineers and a solid foundation in developing solutions for marketing and advertising organizations.
• 
  
• Responsibilities
• Use and fit different mathematical and econometric models for explanatory purposes that deliver better decisions and create highquality data visualizations for internal and external purposes.
• Research design and implement analytic and mathematical approaches and algorithms to build scalable best of class webbased analytical solutions
• Design and test analytical modules for Nielsen modeling platforms
• Partner with our Software Engineering department to build bestofclass webbased analytical solutions
• Document and present methodology inside and outside the company
• Requirements
• PhD or Masters degree in Operations Research Industrial Engineering Applied MathematicsComputer Science or Related field
• 2 yrs experience in working in Data Science and/or Statistical analysis
• Expertise in Python Spark SQL or other modern programming languages
• Experience in using machine learning libraries and techniques
• Proficient in writing production grade code using scientific computing packages (e.g. NumPySciPy Scikitlearn)
• Experience with Bayesian and Frequentist statistics
• Experience with NumPyro is a plus
• Familiarity with cloud providers (e.g. AWS Azure) is a plus
• Experience in code management docker and CI/CD pipelines is a plus
• Excellent oral and written communication skills
• Wellorganized and capable of working independently on missioncritical projects while meeting deadlines
• Quick learner with a logical mindset and analytical thinking who is passionate about technology
• Experience in shortrelease lifecycle (agile processes including scrum) is a plus
• Roles & Responsibilities
• The ideal candidate must have expertise in leading the research and development of analytic solutions with a focus on mathematical modeling statistical methods and machine learning processes. The candidate would also have the capacity to work in an agile development environment alongside software engineers and a solid foundation in developing solutions for marketing and advertising organizations.
• 
  

data visualization,statistical analysis,cloud providers,python,sql,mathematical modeling,aws,scientific computing packages,azure,prototype development,numpyro,spark,data science,bayesian and frequentist statistics,machine learning